A power grid accident correlation reason backtracking method based on data mining and visualization
The invention relates to a power grid accident correlation reason backtracking method based on data mining and visualization, and belongs to the field of intelligent retrieval. The method comprises the following steps: S1, data mining; S2, accident event tracing retrieval; S3, displaying a tracing p...
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| creator | SHAN KE WANG NING TIAN NIANJIE WANG CHENGZUO ZHAO QIAN LI YUN DAI JIANG ZHANG NAN CHEN ENQIAN LONG ZHIMIN LAN JUN PAN JIAMAN MIAO WEIMING ZHENG QUANCHAO LI ZHENBANG |
| description | The invention relates to a power grid accident correlation reason backtracking method based on data mining and visualization, and belongs to the field of intelligent retrieval. The method comprises the following steps: S1, data mining; S2, accident event tracing retrieval; S3, displaying a tracing process in combination with a lexicon association rule; When the electric power system is in an operation state, if the system has a problem, the action information of the protection device can transmit the related information of the fault to the dispatching center; Fault information is imported intoan intelligent analysis system fault data mining algorithm is established, fault data can be analyzed, fault characteristics can be extracted, historical accident event data can be collected, mesh topology display can be carried out according to other operation information associated with the elements, and scheduling personnel can be assisted to investigate accident events, so that the system operation personnel can quic |
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The method comprises the following steps: S1, data mining; S2, accident event tracing retrieval; S3, displaying a tracing process in combination with a lexicon association rule; When the electric power system is in an operation state, if the system has a problem, the action information of the protection device can transmit the related information of the fault to the dispatching center; Fault information is imported intoan intelligent analysis system fault data mining algorithm is established, fault data can be analyzed, fault characteristics can be extracted, historical accident event data can be collected, mesh topology display can be carried out according to other operation information associated with the elements, and scheduling personnel can be assisted to investigate accident events, so that the system operation personnel can quic</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190507&DB=EPODOC&CC=CN&NR=109726246A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25565,76548</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190507&DB=EPODOC&CC=CN&NR=109726246A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SHAN KE</creatorcontrib><creatorcontrib>WANG NING</creatorcontrib><creatorcontrib>TIAN NIANJIE</creatorcontrib><creatorcontrib>WANG CHENGZUO</creatorcontrib><creatorcontrib>ZHAO QIAN</creatorcontrib><creatorcontrib>LI YUN</creatorcontrib><creatorcontrib>DAI JIANG</creatorcontrib><creatorcontrib>ZHANG NAN</creatorcontrib><creatorcontrib>CHEN ENQIAN</creatorcontrib><creatorcontrib>LONG ZHIMIN</creatorcontrib><creatorcontrib>LAN JUN</creatorcontrib><creatorcontrib>PAN JIAMAN</creatorcontrib><creatorcontrib>MIAO WEIMING</creatorcontrib><creatorcontrib>ZHENG QUANCHAO</creatorcontrib><creatorcontrib>LI ZHENBANG</creatorcontrib><title>A power grid accident correlation reason backtracking method based on data mining and visualization</title><description>The invention relates to a power grid accident correlation reason backtracking method based on data mining and visualization, and belongs to the field of intelligent retrieval. 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The method comprises the following steps: S1, data mining; S2, accident event tracing retrieval; S3, displaying a tracing process in combination with a lexicon association rule; When the electric power system is in an operation state, if the system has a problem, the action information of the protection device can transmit the related information of the fault to the dispatching center; Fault information is imported intoan intelligent analysis system fault data mining algorithm is established, fault data can be analyzed, fault characteristics can be extracted, historical accident event data can be collected, mesh topology display can be carried out according to other operation information associated with the elements, and scheduling personnel can be assisted to investigate accident events, so that the system operation personnel can quic</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | A power grid accident correlation reason backtracking method based on data mining and visualization |
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